{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 财务指标比率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 营业收入增长率\n",
    "营业收入增长率是衡量企业经营状况和市场占有能力、预测企业经营发展趋势、评价企业成长状况的重要指标。一般而言，当营业收入增长率大于10%时，表明公司产品处于成长期；当营业收入增长率在5%-10%时，说明公司产品已经进入稳定期，不就将进入衰退期；如果该比率低于5%，表明公司产品可能逐渐进入衰退期。从基本面分析的角度看，我们要寻找那些处于上升期、成长期的公司，因此在量化的时候以营业收入增长率达到10%作为基准进行评分。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 营业收入增长率：5+（最近季度营业收入增长率-10）\n",
    "  以增长10%为基准计5分；以最近季度增长率与10%进行对比，低于10%则每减少1%减1分（四舍五入整数），直至0分；高于10%则每增加1%加1分，最多至10分。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 营业利润增长率\n",
    "一般而言，公司盈利能力越强，投资价值越高。书中将将选择标准定在20%，即以增长20%为基准计5分，以最近季度增长率与20%进行对比，低于20%则每减少2%减1分，直至0分；高于20%则每增加2%加1分，最多至10分。\n",
    "- 营业收入增长率评分： 5+（最近季度营业利润增长率-20）/2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 毛利率\n",
    "毛利率是毛利与销售收入或营业收入的百分比，即毛利率=(营业收入-营业成本)/营业收入。毛利率是公司的重要经营指标，能反映公司产品的竞争力和获利潜力，该指标可以反映公司某一主要产品或主要业务的盈利状况。与历史相比，若公司的毛利率显著提高，则可能是公司所在行业处于复苏时期，产品价格显著上升。反之，若公司毛利率显著降低，则可能是公司所在行业竞争激烈，毛利率下降往往伴随着价格战的爆发或成本的失控，意味着盈利能力的下降。当然，行业不同毛利率差异很大。因此毛利率只适合纵向比较。\n",
    "\n",
    "- 以前三年度平均毛利率为基准计5分，以最近季度毛利率与前三年度平均毛利率比较，低于前三年平均毛利率则每减少0.5%减1分，直至0分；高于近三年平均毛利率则每增加0.5%加1分，最多10分。毛利率得分=5+（最近季度毛利率-前三季度平均毛利率）/0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 期间费用率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "期间费用率=（营业费用+管理费用+财务费用）/营业收入，该指标能反映公司的费用规模、管控能力、运营水平，是评估公司经营管理能力和效率的重要指标。由于行业不同，期间费用率差异较大，因此评价期间费用率指标，只能是公司现在的期间费用率水平与过去年度进行比较，查看期间费用率是在提升还是下降。以前三年度平均期间费用率为基准计5分；以最近季度期间费用率与前三年度平均期间费用率进行对比，高于前三年度平均期间费用率则每增加0.5%减1分，直至0分；低于前三年度平均期间费用率则每减少0.5%加1分，最多至10分。\n",
    "\n",
    "- 5-\\[(最近季度期间费用率-前三年度平均期间费用率)/0.5\\]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 存货周转率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "存货周转率用于反映存货的周转速度，可以反映企业存货管理水平的高低，影响企业的短期偿债能力。由于不同行业该指标差异较大，因而只适合自身纵向比较，即观察存货周转率是在提升还是下降。评分以前三年度平均存货周转率为基准计5分，以最近季度的年化存货周转率与前三年度平均存货周转率进行对比，每提高2%加1分，最多至10分，每降低2%减1分，直至0分。即存货周转率分值=5+（最近季度的年化存货周转率-前三年度平均存货周转率）/前三年度平均存货周转率x100/2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 每股经营性现金流量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "每股经营现金流量反映公司为每一普通股获取的现金流入量，计算公式为（公司经营活动现金流入-经营活动现金流出）/总股本，常用来衡量公司的盈利质量，如果每股收益远高于每股经营现金流量，说明公司当期销售形成的利润多为账面利润，没有在当期为格式带来真金白银，即利润或每股收益质量差，可能是虚假繁荣。一般而言，每股经营性现金流量越大越好，但当公司在高速扩张期时期每股经营性现金流量可能为负。当然如果一家公司连续出现每股现金流量为负值是值得警惕的，潜在风险包括过度扩张、应收账款不能及时收回产生坏账风险，财务造假、虚增利润等。评分标准：\n",
    "以最近三年每股收益之和为基准计5分，以最近三年每股经营性现金流量之和与最近三年每股收益之和对比，每增加4%加1分，，最多10分；每减少4%减1分，直至0分。如果每股经营性现金流在最近两个季度连续为负时直接计0分。\n",
    "\n",
    "- 5+\\[(最近三年每股经营性现金流量之和-最近三年每股收益之和)/最近三年每股收益之和\\]X100/4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 加权净资产收益率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "加权净资产收益率指标是一个综合性很强的指标，是衡量公司盈利能力、股东资金使用效率的重要指标。加权净资产收益率指标值越高，说明自有资本获得净收益的能力越强。一般而言，一家优秀的成长型公司的加权净资产收益率应保持在每年15%以上。因此评分以15%为基准计5分，以最近季度的年化加权净资产收益率与15%进行对比，每增加1%加1分，最多10分；每减少1%减1分，直至0分。\n",
    "\n",
    "- 加权净资产收益率得分=5+（年化加权净资产收益率-15），最高10分，最低0分。其中最近季度的年化加权净资产收益率=上年度加权净资产收益率X最近季度加权净资产收益率/上一季度加权净资产收益率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总资产报酬率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "总资产报酬率表示企业全部资产获取收益的水平，能较全面地反映企业的获利能力和投入产出状况。一般情况，企业可根据此指标与市场资本利率进行比较，若该指标大于市场利率，则表明企业可以利用财务杠杆进行负债经营，获取更多的收益，该指标越高，表明企业投入产出水平越好，企业的资产运营越有效。评分标准为：以5%为基准计0分，以最近季度年化总资产报酬率（最近季度为四季度则为最近年度总资产报酬率）与5%进行对比，每增加0.5%加1分，最多10分；每降低0.5%减1分，直至0分。其中最近季度的年化总资产报酬率=上年度总资产报酬率X最近季度总资产报酬率/上一年同季度总资产报酬率。即(最近季度年化总资产报酬率-5)/0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 市净率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "市净率是每股股价与每股净资产的比率，一般而言，市净率越低的股票其投资价值越高；反之，市净率越高的股票，其投资价值越小。历史经验表明，一些跌破净资产的股票往往会表现为较小的投资风险，而在行情启动时，具有较好的价值回归动力。以3倍市净率为基准计5分，每降低0.4倍加1分，最多10分，每提高0.4倍减1分，如果确定以市净率为主要估值指标，则市净率分值无下限，如果确定以PEG（动态市盈率相对盈利增长比率）指标为估值指标，则市净率分值最低0分。\n",
    "得分为：5-\\[（市净率-3）/0.4\\]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 动态市盈率相对盈利增长比率（PEG）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-17T15:02:33.385481Z",
     "start_time": "2021-03-17T15:02:33.377501Z"
    }
   },
   "source": [
    "PEG是用公司的市盈率除以公司的盈利增长速度，与市净率一样，PEG是一个估值指标，两者在使用时侧重点不同。一般而言，PEG值越低，股价被低估的可能性越大，相应的投资价值就可能越大；相反，PEG值越高，股价被低估的可能性越小，相应的投资价值就可能越小。\n",
    "PEG=动态市盈率/过去三年平均净利润增长率，其中动态市盈率=现在股价/年化每股收益；最近季度的年化每股收益=上年度每股收益X最近季度每股收益/上一年度同季度每股收益。\n",
    "评分标准：以PEG值等于1为基准计5分，每降低0.1倍加1分，最多10分；每提高0.1倍减1分。如果确定以PEG为主要估值指标，则PEG分值无下限，如果确定以市盈率为主要估值指标，则PEG分值最低0分。得分=5-\\[（动态市盈率相对盈利增长比率-1）/0.1\\]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将上述指标计分汇总得到总分，理论上当总分大于50分认为具备投资价值，因为选定的十项指标中的每一项指标的中间值都是按照具备投资价值的公司标准选定的。上述指标对于判断非周期性行业股票的投资价值，以及高成长性股票的估值是否合理、成长性能否持续都具有重要意义；对于周期性行业的股票也适用，但周期性股票的买卖点主要看行业的周期性拐点，分值高点反而不重要。值得注意的是，上述十项指标评估模型理论上可以适用于任何生产销售型公司，但金融行业（银行、券商等）不能直接适用，有些指标需要重新设定。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:53:57.600059Z",
     "start_time": "2021-08-16T13:53:56.884904Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime\n",
    "#画图\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from pylab import mpl\n",
    "mpl.rcParams['font.sans-serif']=['SimHei']\n",
    "mpl.rcParams['axes.unicode_minus']=False\n",
    "#获取数据\n",
    "import tushare as ts \n",
    "token='f6b511d8d4529f19319e1861edadda749e64a5b8573102deec80cfd8'\n",
    "ts.set_token(token)\n",
    "pro=ts.pro_api(token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:53:57.616062Z",
     "start_time": "2021-08-16T13:53:57.602057Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_indicators(code):\n",
    "    #获取当前时间，计算当前和过去四年时间\n",
    "    t0=datetime.now()\n",
    "    t1=datetime(t0.year-4,t0.month,t0.day)\n",
    "    end=t0.strftime('%Y%m%d')\n",
    "    start=t1.strftime('%Y%m%d')\n",
    "    #财务比率\n",
    "    fields='ann_date,end_date,tr_yoy,op_yoy,\\\n",
    "         grossprofit_margin,expense_of_sales,inv_turn,eps,\\\n",
    "         ocfps,roe_yearly,roa2_yearly,netprofit_yoy'\n",
    "    fina = (pro.fina_indicator(ts_code=code,start_date=start, end_date=end,fields=fields)\n",
    "           .drop_duplicates(subset=['ann_date','end_date'],keep='first'))\n",
    "    fina.set_index('end_date',inplace = True)\n",
    "    fina=fina.sort_index()\n",
    "    #获取市盈率和市净率指标（pe、pb数据）\n",
    "    pbe=pro.daily_basic(ts_code=code, fields='trade_date,pe_ttm,pb')\n",
    "    pbe.set_index('trade_date',inplace=True)\n",
    "    pbe=pbe.sort_index()\n",
    "    #合并数据\n",
    "    df=pd.merge(fina,pbe,left_index=True,right_index=True,how='left')\n",
    "    #pb缺失数据使用前值填充，pe不管，缺失值可能是因为盈利为负数\n",
    "    df['pb'].fillna(method='ffill',inplace=True)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:53:57.632066Z",
     "start_time": "2021-08-16T13:53:57.619064Z"
    }
   },
   "outputs": [],
   "source": [
    "#存在缺失值或者负值（市盈率）情况下评分直接为0\n",
    "#营业收入增长率打分（0-10）\n",
    "def cal_tryoy(y):\n",
    "    '''y是营业收入增长率'''\n",
    "    try:\n",
    "        return 5+ min(round(y-10),5) if y>=10 else 5+ max(round(y-10),-5)\n",
    "    except:\n",
    "        return 0\n",
    "#营业利润增长率打分(0-10)\n",
    "def cal_opyoy(y):\n",
    "    '''y是营业利润增长率'''\n",
    "    try:\n",
    "        return 5+ min(round((y-20)/2),5) if y>=20 else 5+ max(round((y-20)/2),-5)\n",
    "    except:\n",
    "        return 0\n",
    "#毛利率打分\n",
    "def cal_gpm(y):\n",
    "    '''y是最近季度毛利率-前三季度平均毛利率'''\n",
    "    try:\n",
    "        return 5+min(round(y)/0.5,5) if y>0 else max(round(y)/0.5,-5)+5\n",
    "    except:\n",
    "        return 0\n",
    "#期间费用率打分\n",
    "def cal_exp(y):\n",
    "    '''y是最近季度期间费用率-前三季度平均期间费用率'''\n",
    "    try:\n",
    "        return 5+min(round(y)/0.5,5) if y>0 else max(round(y)/0.5,-5)+5\n",
    "    except:\n",
    "        return 0\n",
    "#存货周转率打分\n",
    "def cal_inv(y):\n",
    "    '''y是（最近季度存货周转率-前三季度平均存货周转率）/前三季度平均存货周转率*100'''\n",
    "    try:\n",
    "        return 5+min(round(y/2),5) if y>0 else max(round(y/2),-5)+5\n",
    "    except:\n",
    "        return 0\n",
    "#每股经营性现金流打分\n",
    "def cal_ocfp(y):\n",
    "    '''y是（最近三季度每股经营性现金流之和-最近三季度每股收益之和）/最近三季度每股收益之和*100'''\n",
    "    try:\n",
    "        return 5+min(round(y/4),5) if y>0 else max(round(y/4),-5)+5\n",
    "    except:\n",
    "        return 0\n",
    "#净资产收益率打分\n",
    "def cal_roe(y):\n",
    "    '''y是年化净资产收益率'''\n",
    "    try:\n",
    "        return 5+ min(round(y-15),5) if y>=15 else 5+ max(round(y-15),-5)\n",
    "    except:\n",
    "        return 0\n",
    "#总资产报酬率打分\n",
    "def cal_roa(y):\n",
    "    '''y是最近季度年化总资产报酬率'''\n",
    "    try:\n",
    "        return min(round((y-5)/0.5),10) if y>=5 else max(round(y-5),0)\n",
    "    except:\n",
    "        return 0\n",
    "#市净率打分\n",
    "def cal_pb(y):\n",
    "    '''y是市净率'''\n",
    "    try:\n",
    "        return 5-max(round((y-3)/0.4),-5) if y<=3 else 5-min(round((y-3)/0.4),5)\n",
    "    except:\n",
    "        return 0\n",
    "#动态市盈率相对盈利增长率（PEG）打分\n",
    "def cal_pe(y):\n",
    "    '''y是动态市盈率相对盈利增长率'''\n",
    "    try:\n",
    "        return 5-max(round((y-1)/0.1),-5) if y<=1 else 5-min(round((y-1)/0.1),5)\n",
    "    except:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:53:57.648070Z",
     "start_time": "2021-08-16T13:53:57.634067Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'营业收入增长率': 'tr_yoy',\n",
       " '营业利润增长率': 'op_yoy',\n",
       " '毛利率': 'grossprofit_margin',\n",
       " '期间费用率': 'expense_of_sales',\n",
       " '存货周转率': 'inv_turn',\n",
       " '每股经营性现金流量': 'ocfps',\n",
       " '每股收益': 'eps',\n",
       " '加权净资产收益率': 'roe_waa',\n",
       " '年化净资产收益率': 'roe_yearly',\n",
       " '年化总资产报酬率': 'roa2_yearly',\n",
       " '归属母公司股东的净利润同比增长率': 'netprofit_yoy'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{'营业收入增长率':'tr_yoy','营业利润增长率':'op_yoy','毛利率':'grossprofit_margin',\n",
    " '期间费用率':'expense_of_sales','存货周转率':'inv_turn','每股经营性现金流量':'ocfps',\n",
    " '每股收益':'eps','加权净资产收益率':'roe_waa','年化净资产收益率':'roe_yearly',\n",
    " '年化总资产报酬率':'roa2_yearly','归属母公司股东的净利润同比增长率':'netprofit_yoy'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:53:57.664071Z",
     "start_time": "2021-08-16T13:53:57.650070Z"
    }
   },
   "outputs": [],
   "source": [
    "#计算财务指标得分\n",
    "def indicator_score(code):\n",
    "    data=get_indicators(code)\n",
    "    '''(1)营业收入增长率打分'''\n",
    "    data['营收得分']=data['tr_yoy'].apply(cal_tryoy)\n",
    "    '''(2)营业利润增长率打分'''\n",
    "    data['利润得分']=data['op_yoy'].apply(cal_opyoy)\n",
    "    '''(3)毛利率打分'''\n",
    "    #计算最近季度毛利率-前三季度平均毛利率\n",
    "    data['gpm']=data['grossprofit_margin']-data['grossprofit_margin'].rolling(3).mean()\n",
    "    data['毛利得分']=data['gpm'].apply(cal_gpm)\n",
    "    '''(4)期间费用率打分'''\n",
    "    #最近季度期间费用率-前三季度平均期间费用率\n",
    "    data['exp']=data['expense_of_sales']-data['expense_of_sales'].rolling(3).mean()\n",
    "    data['费用得分']=data['exp'].apply(cal_exp)\n",
    "    '''(5)周转率打分'''\n",
    "    #（最近季度存货周转率-前三季度平均存货周转率）/前三季度平均存货周转率*100\n",
    "    data['inv']=(data['inv_turn']-data['inv_turn'].rolling(3).mean())*100/data['inv_turn'].rolling(3).mean()\n",
    "    data['周转得分']=data['inv'].apply(cal_inv)\n",
    "    '''(6)每股经营现金流打分'''\n",
    "    #（最近三季度每股经营性现金流之和-最近三季度每股收益之和）/最近三季度每股收益之和*100\n",
    "    data['ocf']=(data['ocfps'].rolling(3).sum()-data['eps'].rolling(3).sum())*100/data['eps'].rolling(3).sum()\n",
    "    data['现金得分']=data['ocf'].apply(cal_ocfp)\n",
    "    '''(7)净资产收益率打分'''\n",
    "    data['净资产得分']=data['roe_yearly'].apply(cal_roe)\n",
    "    '''(8)总资产收益率打分'''\n",
    "    data['总资产得分']=data['roa2_yearly'].apply(cal_roa)\n",
    "    '''(9)市净率打分'''\n",
    "    data['市净率得分']=data['pb'].apply(cal_pb)\n",
    "    '''(10)动态市盈率相对盈利增长率打分'''\n",
    "    #动态市盈率相对盈利增长率\n",
    "    data['peg']=data['pe_ttm']/data['netprofit_yoy'].rolling(3).mean()\n",
    "    data['市盈率得分']=data['peg'].apply(cal_pe)\n",
    "    #计算总得分\n",
    "    data['总分']=data[['营收得分','利润得分','费用得分','周转得分','现金得分','净资产得分','总资产得分',\\\n",
    "                 '市净率得分','市盈率得分']].sum(axis=1)\n",
    "    return data[['营收得分','利润得分','费用得分','周转得分','现金得分','净资产得分','总资产得分',\\\n",
    "                 '市净率得分','市盈率得分','总分']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:53:58.963091Z",
     "start_time": "2021-08-16T13:53:57.757099Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>营收得分</th>\n",
       "      <th>利润得分</th>\n",
       "      <th>费用得分</th>\n",
       "      <th>周转得分</th>\n",
       "      <th>现金得分</th>\n",
       "      <th>净资产得分</th>\n",
       "      <th>总资产得分</th>\n",
       "      <th>市净率得分</th>\n",
       "      <th>市盈率得分</th>\n",
       "      <th>总分</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>end_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20170930</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20171231</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180331</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180630</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180930</th>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20181231</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20190331</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20190630</th>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>49.0</td>\n",
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       "    <tr>\n",
       "      <th>20190930</th>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20191231</th>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20200331</th>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20200630</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20200930</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40.0</td>\n",
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       "    <tr>\n",
       "      <th>20201231</th>\n",
       "      <td>5</td>\n",
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       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20210331</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20210630</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          营收得分  利润得分  费用得分  周转得分  现金得分  净资产得分  总资产得分  市净率得分  市盈率得分    总分\n",
       "end_date                                                                \n",
       "20170930    10    10   0.0     0     0     10     10      0      0  40.0\n",
       "20171231    10    10   0.0     0     0     10     10      0      0  40.0\n",
       "20180331    10    10   5.0     0     2     10     10      0      0  47.0\n",
       "20180630    10    10   7.0     0     2     10     10      0      0  49.0\n",
       "20180930    10     8   5.0    10     6     10     10      0      0  59.0\n",
       "20181231    10    10   1.0    10     9     10     10      0      0  60.0\n",
       "20190331    10    10   3.0     0     5     10     10      0      0  48.0\n",
       "20190630    10     7   7.0     0     5     10     10      0      0  49.0\n",
       "20190930    10     5   5.0    10     1     10     10      0      2  53.0\n",
       "20191231    10     2   5.0    10     6     10     10      0      0  53.0\n",
       "20200331     8     3   3.0     0     2     10     10      0      0  36.0\n",
       "20200630     6     1   3.0     0     0     10     10      0      0  30.0\n",
       "20200930     5     0   5.0    10     0     10     10      0      0  40.0\n",
       "20201231     5     1   5.0    10     2     10     10      0      0  43.0\n",
       "20210331     6     0   3.0     0     0     10     10      0      0  29.0\n",
       "20210630     6     0   5.0     0     1     10     10      0      0  32.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#贵州茅台\n",
    "code='600519.SH'\n",
    "indicator_score(code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:53:59.187129Z",
     "start_time": "2021-08-16T13:53:58.966088Z"
    }
   },
   "outputs": [],
   "source": [
    "from pyecharts import Grid,Kline,Bar,Overlap,EffectScatter\n",
    "def plot_signal(code):\n",
    "    ff=indicator_score(code)\n",
    "    df=ts.pro_bar(ts_code=code,adj='qfq',start_date=ff.index[0])\n",
    "    df.index=pd.to_datetime(df.trade_date)\n",
    "    df=df.sort_index()\n",
    "    ff.index=pd.to_datetime(ff.index)\n",
    "    ff=ff.sort_index()\n",
    "    sff=pd.merge(ff['总分'],df['close'].resample('Q').last(),left_index=True, right_index=True)\n",
    "    #画K线图\n",
    "    df=df.resample('Q').last()\n",
    "    grid = Grid()\n",
    "    attr=df.index.strftime('%Y%m%d').values\n",
    "    v1=np.array(df.loc[:,['open','close','low','high']])\n",
    "    kline = Kline(code+\"买卖信号\",title_text_size=15)\n",
    "    kline.add(\"K线图\", attr, v1.round(1),is_datazoom_show=True,)\n",
    "    # 成交量\n",
    "    bar = Bar()\n",
    "    bar.add(\"成交量\", attr, df['vol'],tooltip_tragger=\"axis\", is_legend_show=False, \n",
    "        is_yaxis_show=False, yaxis_max=5*max(df[\"vol\"]))\n",
    "    #添加买卖信号\n",
    "    buy_date=sff[ff['总分']>=50].index.strftime('%Y%m%d').values\n",
    "    sell_date=sff[ff['总分']<50].index.strftime('%Y%m%d').values\n",
    "    buy_close=sff[ff['总分']>=50].close.values\n",
    "    sell_close=sff[ff['总分']<50].close.values\n",
    "    es = EffectScatter(\"\")\n",
    "    es.add( \"sell\", sell_date, sell_close, )\n",
    "    es.add(\"buy\",  buy_date, buy_close,symbol=\"triangle\",)\n",
    "    \n",
    "    overlap = Overlap(width=2000, height=600)\n",
    "    overlap.add(kline)\n",
    "    overlap.add(bar,yaxis_index=1, is_add_yaxis=True)\n",
    "    overlap.add(es)\n",
    "\n",
    "    grid.add(overlap, grid_right=\"10%\")\n",
    "    return grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:54:00.763483Z",
     "start_time": "2021-08-16T13:53:59.190134Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-7-3c672f9046ce>:22: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  buy_date=sff[ff['总分']>=50].index.strftime('%Y%m%d').values\n",
      "<ipython-input-7-3c672f9046ce>:23: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  sell_date=sff[ff['总分']<50].index.strftime('%Y%m%d').values\n",
      "<ipython-input-7-3c672f9046ce>:24: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  buy_close=sff[ff['总分']>=50].close.values\n",
      "<ipython-input-7-3c672f9046ce>:25: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  sell_close=sff[ff['总分']<50].close.values\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"35c5ab1683fe4af3b538be872d7dff4c\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_35c5ab1683fe4af3b538be872d7dff4c = echarts.init(document.getElementById('35c5ab1683fe4af3b538be872d7dff4c'), 'light', {renderer: 'canvas'});\n",
       "function kline_tooltip_formatter(params) {\n",
       "    var text;\n",
       "    text = ((((((((((((params[0].seriesName + \"<br/>\") + \"- open:\") + params[0].data[1]) + \"<br/>\") + \"- close:\") + params[0].data[2]) + \"<br/>\") + \"- lowest:\") + params[0].data[3]) + \"<br/>\") + \"- highest:\") + params[0].data[4]);\n",
       "    return text;\n",
       "}\n",
       "\n",
       "var option_35c5ab1683fe4af3b538be872d7dff4c = {\n",
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       "myChart_35c5ab1683fe4af3b538be872d7dff4c.setOption(option_35c5ab1683fe4af3b538be872d7dff4c);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.custom.grid.Grid at 0x21f81e529a0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_signal(code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:54:00.779488Z",
     "start_time": "2021-08-16T13:54:00.765487Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_stock_signal(code):\n",
    "    ff=indicator_score(code)\n",
    "    dff=ts.pro_bar(ts_code=code,adj='qfq',start_date=ff.index[0])\n",
    "    dff.index=pd.to_datetime(dff.trade_date)\n",
    "    dff=dff.sort_index()\n",
    "    ff.index=pd.to_datetime(ff.index)\n",
    "    dff=dff.sort_index()\n",
    "    dff.close.plot(figsize=(14,7),label='收盘价',linewidth=1.5);\n",
    "    dff.close.rolling(120).mean().plot(label='120均线');\n",
    "    #my_ticks = pd.date_range(dff.index[0],dff.index[-1],freq='Q')\n",
    "    plt.title('股价走势与指标信号',fontsize=18)\n",
    "    #plt.xticks(my_ticks,fontsize=12)\n",
    "    plt.yticks(fontsize=12)\n",
    "    plt.xlabel('',fontsize=15)\n",
    "    plt.legend()\n",
    "    sff=pd.merge(ff['总分'],dff['close'].resample('Q').last(),left_index=True, right_index=True)\n",
    "    for i in range(len(sff)):\n",
    "        if sff['总分'][i]<50:\n",
    "            plt.annotate('空',\n",
    "               xy=(sff.index[i],sff['close'][i]),xytext=(sff.index[i],sff['close'][i]), \n",
    "               bbox = dict(boxstyle = 'round,pad=0.5',alpha = 0.5),\n",
    "               arrowprops=dict(facecolor='green', shrink=0.05),fontsize=12)\n",
    "        else:\n",
    "            plt.annotate('多',\n",
    "               xy=(sff.index[i],sff['close'][i]),xytext=(sff.index[i],sff['close'][i]), \n",
    "               bbox = dict(boxstyle = 'round,pad=0.5',\n",
    "               fc = 'yellow', alpha = 0.5),arrowprops=dict(facecolor='red', \n",
    "               shrink=0.05),fontsize=12)\n",
    "    # 将右边 上边的两条边颜色设置为空 其实就相当于抹掉这两条边\n",
    "    ax = plt.gca()  \n",
    "    ax.spines['right'].set_color('none') \n",
    "    ax.spines['top'].set_color('none')  \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:54:03.565922Z",
     "start_time": "2021-08-16T13:54:00.782491Z"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_stock_signal(code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:54:03.581925Z",
     "start_time": "2021-08-16T13:54:03.567924Z"
    }
   },
   "outputs": [],
   "source": [
    "#获取当前正常上市交易的股票列表\n",
    "def get_code():\n",
    "    t=datetime.now()\n",
    "    df=pro.stock_basic(exchange='', list_status='L', fields='ts_code,symbol,name,area,industry,list_date')\n",
    "    #排除上市日期短于4年的个股\n",
    "    #获取当前年份\n",
    "    year=datetime.now().strftime('%Y')\n",
    "    #四年前\n",
    "    year=str(int(year)-4)+'0101'\n",
    "    #保留上市时间大于四年个股数据\n",
    "    df=df[df.list_date<year]\n",
    "    #排除银行、保险、多元金融公司\n",
    "    df=df[-df.industry.isin(['银行','保险','多元金融'])]\n",
    "    #排除st和*ST股\n",
    "    df=df[-df.name.str.startswith(('ST'))]\n",
    "    df=df[-df.name.str.startswith(('*'))]\n",
    "    code=df.ts_code.values\n",
    "    name=df.name\n",
    "    return dict(zip(name,code))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T13:54:03.597931Z",
     "start_time": "2021-08-16T13:54:03.583927Z"
    }
   },
   "outputs": [],
   "source": [
    "#计算所有股票财务指标总分\n",
    "def get_all_score():\n",
    "    df=pd.DataFrame()\n",
    "    for name,code in get_code().items():\n",
    "        try:\n",
    "            df[name]=indicator_score(code)['总分']\n",
    "        except:\n",
    "            continue\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T14:30:18.533339Z",
     "start_time": "2021-08-16T13:54:03.599940Z"
    }
   },
   "outputs": [],
   "source": [
    "dff=get_all_score()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T14:30:18.564367Z",
     "start_time": "2021-08-16T14:30:18.535326Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>end_date</th>\n",
       "      <th>20181231</th>\n",
       "      <th>20190331</th>\n",
       "      <th>20190630</th>\n",
       "      <th>20190930</th>\n",
       "      <th>20191231</th>\n",
       "      <th>20200331</th>\n",
       "      <th>20200630</th>\n",
       "      <th>20200930</th>\n",
       "      <th>20201231</th>\n",
       "      <th>20210331</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>杭州解百</th>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>胜利股份</th>\n",
       "      <td>37.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>淮北矿业</th>\n",
       "      <td>45.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>太钢不锈</th>\n",
       "      <td>46.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>三钢闽光</th>\n",
       "      <td>50.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>五洲交通</th>\n",
       "      <td>28.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>马钢股份</th>\n",
       "      <td>62.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>柳钢股份</th>\n",
       "      <td>60.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>特变电工</th>\n",
       "      <td>17.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>华贸物流</th>\n",
       "      <td>29.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>方大特钢</th>\n",
       "      <td>58.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>旗滨集团</th>\n",
       "      <td>46.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>露天煤业</th>\n",
       "      <td>41.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>新集能源</th>\n",
       "      <td>49.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>鄂尔多斯</th>\n",
       "      <td>42.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "end_date  20181231  20190331  20190630  20190930  20191231  20200331  \\\n",
       "杭州解百          19.0      12.0      24.0      43.0      64.0      39.0   \n",
       "胜利股份          37.0      21.0      32.0      54.0      57.0      28.0   \n",
       "淮北矿业          45.0      35.0      31.0      63.0      65.0      39.0   \n",
       "太钢不锈          46.0      13.0      15.0      45.0      45.0      28.0   \n",
       "三钢闽光          50.0      30.0      32.0      65.0      64.0      45.0   \n",
       "五洲交通          28.0      50.0      56.0      79.0      77.0      33.0   \n",
       "马钢股份          62.0      15.0      15.0      37.0      47.0      45.0   \n",
       "柳钢股份          60.0      24.0      37.0      63.0      64.0      34.0   \n",
       "特变电工          17.0       9.0       5.0      35.0      42.0      26.0   \n",
       "华贸物流          29.0       8.0      12.0      39.0      34.0      27.0   \n",
       "方大特钢          58.0      30.0      23.0      52.0      53.0      38.0   \n",
       "旗滨集团          46.0      27.0      32.0      57.0      70.0      38.0   \n",
       "露天煤业          41.0      23.0      31.0      62.0      71.0      65.0   \n",
       "新集能源          49.0      30.0      35.0      64.0      63.0      41.0   \n",
       "鄂尔多斯          42.0      23.0      16.0      46.0      49.0      40.0   \n",
       "\n",
       "end_date  20200630  20200930  20201231  20210331  \n",
       "杭州解百          31.0      62.0      41.0      77.0  \n",
       "胜利股份          39.0      36.0      32.0      76.0  \n",
       "淮北矿业          47.0      59.0      62.0      76.0  \n",
       "太钢不锈          35.0      45.0      45.0      73.0  \n",
       "三钢闽光          38.0      59.0      57.0      73.0  \n",
       "五洲交通          35.0      51.0      51.0      72.0  \n",
       "马钢股份          35.0      35.0      51.0      72.0  \n",
       "柳钢股份          43.0      45.0      57.0      72.0  \n",
       "特变电工          37.0      50.0      55.0      72.0  \n",
       "华贸物流          66.0      71.0      73.0      72.0  \n",
       "方大特钢          49.0      74.0      69.0      72.0  \n",
       "旗滨集团          39.0      50.0      63.0      72.0  \n",
       "露天煤业          57.0      66.0      57.0      72.0  \n",
       "新集能源          39.0      41.0      43.0      71.0  \n",
       "鄂尔多斯          35.0      44.0      61.0      71.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#获取最近日期总分排名前15个股\n",
    "result=dff.T.sort_values(dff.T.columns[-1],ascending=False).iloc[:15,-10:]\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T14:30:21.259130Z",
     "start_time": "2021-08-16T14:30:18.566333Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_stock_signal(get_code()[result.index[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-16T14:30:24.794814Z",
     "start_time": "2021-08-16T14:30:21.261130Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_stock_signal(get_code()[result.index[1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
